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Personalised Body Sensor Networks with Built-In Intelligence for Real-Time Risk Assessment and Coaching of Ageing workers, in all types of working and living environments


Kinetic, Physiological and Environmental Sensors

The deliverable will present the sensors used for capturing the defined body parameters. it will provide information and reference about the hardware itself, and the model for the parameter estimation.

IPR Agreement

The documents will list the BIONIC assets corresponding proprietary rights.

User Profile Reference Frame

The deliverable will describe the defined profile frame used in BIONIC. It will include different components, reflecting medical, social characteristic, personal goals and preferences and show how those are defined in a sounded way.

High-level system architecture and technical specifications

The deliverable provides the overall system architecture and describes each modules, its functionality, and the interfaces.

Privacy and Data Protection framework

The Privacy and Data Protection concepts and implementation will be presented in details in his deliverable. It will be compliant with the involved company policies and European rules.

Ethics Strategy

The deliverable will present the project strategy related to the ethics issues and a general guideline on this topic.

Usage scenarios for validating Bionic system in real working conditions

This deliverable provides a description of the expected usage of the Bionic system as if available as final system. It will clarify the required functionality and provide guidance for the scientific system validation.

End user requirements and Intermediate user requirements for Bionic system

This deliverable describes the use-cases and provides the system specification of BIONIC.

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Evaluation of Physical Workload Using Simulation versus Motion Capturing Data for Biomechanical Models

Author(s): Peters, Markus; Wischniewski Sascha
Published in: DHM 2020 - Proceedings of the 6th International Digital Human Modeling Symposium, August 31–September 2, 2020, 2020
DOI: 10.3233/atde200046

BIONIC: Custom Sensors for Risk Assessment and Training of Older Workers

Author(s): Alberto Ferreras Remesal
Published in: 12th International Conference on Applied Human Factors and Ergonomics, 2021

BIONIC: Sensores personalizados para la evaluación de riesgos y entrenamiento de trabajadores mayores

Author(s): Ferreras Remesal, Alberto; Giménez Pla, Juan Fernando; Marzo Roselló, Raquel; Ruiz Folgado, Raquel.
Published in: Proceedings of the XIX International Conference on Occupational Risk Prevention, 2019, ISSN 2385-3832

On Expressive Features for Gait Analysis using Lower Limb Inertial Sensor Data

Author(s): Felix Laufer, Michael Lorenz, Bertram Taetz, Gabriele Bleser
Published in: Proceedings of the 21th International Federation of Automatic Control (IFAC) World Congress 2020, 2020

An Approach to Magnetometer-free On-body Inertial Sensors Network Alignment

Author(s): Michael Lorenz, Bertram Taetz, Gabriele Bleser
Published in: Proceedings of the 21th International Federation of Automatic Control (IFAC) World Congress 2020, 2020

Inertial Motion Capture Using Adaptive Sensor Fusion and Joint Angle Drift Correction

Author(s): Hammad Tanveer Butt, Manthan Pancholi, Mathias Musahl, Pramod Narasimha Murthy, Maria Alejandra Sanchez Marin, Didier Stricker
Published in: IEEE 22nd International Conference on Information Fusion (FUSION 2019), 2019

Uncertainty based active learning with deep neural networks for inertial gait analysis

Author(s): Alexander Vaith, Bertram Taetz, Gabriele Bleser
Published in: IEEE 23rd International Conference on Information Fusion (FUSION 2020), 2020

Towards Machine Learning-Based Detection of Running-Induced Fatigue in Real-World Scenarios: Evaluation of IMU Sensor Configurations to Reduce Intrusiveness

Author(s): Luca Marotta, Jaap H. Buurke, Bert-Jan F. van Beijnum, Jasper Reenalda
Published in: Sensors, Issue 21/10, 2021, Page(s) 3451, ISSN 1424-8220
DOI: 10.3390/s21103451

Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units with associated Uncertainty

Author(s): Hammad Tanveer Butt, Mathias Musahl, Maria A. Sanchez, Pramod Murthy, Kumar Ankit, Didier Stricker
Published in: IEEE Access, 2020, Page(s) 1-1, ISSN 2169-3536
DOI: 10.1109/access.2021.3057579

Incorporating privacy by design in body sensor networks for medical applications: A privacy and data protection framework

Author(s): Christos Kalloniatis, Costas Lambrinoudakis, Mathias Musahl, Athanasios Kanatas, Stefanos Gritzalis
Published in: Computer Science and Information Systems, Issue 18/1, 2021, Page(s) 323-347, ISSN 1820-0214
DOI: 10.2298/csis200922057k

Development of High Rate Wearable MIMU Tracking System Robust to Magnetic Disturbances and Body Acceleration

Author(s): Hammad Tanveer Butt, Manthan Pancholi, Mathias Musahl, Maria Alejandra Sanchez, Didier Stricker
Published in: Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1, Issue 1037, 2020, Page(s) 1178-1198
DOI: 10.1007/978-3-030-29516-5_87